def run_model(self):
""" Execute the simulation."""
self.initialize()
self.scheduler.init()
self.progress.start()
for pwr in self._power:
self.activate(pwr, pwr.on())
for cpu in self._processors:
self.activate(cpu, cpu.run())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
self.logger.log("Updating idle/execution times {}".format(1))
self._processors[0].update()
if self.now() > 0:
self.results = Results(self)
self.results.end()
def run_model(self):
""" Execute the simulation."""
self.initialize()
if(self.scheduler):
self.scheduler.init()
if(self._time_partitioning and self.part_scheduler):
self.part_scheduler.init()
self.part_scheduler.select_donation_policy(self._donation_policy)
self.progress.start()
for cpu in self._processors:
self.activate(cpu, cpu.run())
for part in self._part_list:
self.activate(part, part.execute())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
if self.now() > 0:
self.results = Results(self)
self.results.end()
def run_model(self):
""" Execute the simulation."""
self.initialize()
self.scheduler.init()
self.progress.start()
for cpu in self._processors:
self.activate(cpu, cpu.run())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
if self.now() > 0:
self.results = Results(self)
self.results.end()
def run_model(self):
""" Execute the simulation."""
self.initialize()
self.scheduler.init()
self.progress.start()
for cpu in self._processors:
self.activate(cpu, cpu.run())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
if self.now() > 0:
self.results = Results(self)
self.results.end()
class Model(Simulation):
"""
Main class for the simulation. It instantiate the various components
required by the simulation and run it.
"""
def __init__(self, configuration, callback=None):
"""
Args:
- `callback`: A callback can be specified. This function will be \
called to report the advance of the simulation (useful for a \
progression bar).
- `configuration`: The :class:`configuration \
<simso.configuration.Configuration>` of the simulation.
Methods:
"""
Simulation.__init__(self)
self._logger = Logger(self)
task_info_list = configuration.task_info_list
proc_info_list = configuration.proc_info_list
self._cycles_per_ms = configuration.cycles_per_ms
self.scheduler = configuration.scheduler_info.instantiate(self)
try:
self._etm = execution_time_models[configuration.etm](
self, len(proc_info_list))
except KeyError:
print("Unknowned Execution Time Model.", configuration.etm)
self._task_list = []
for task_info in task_info_list:
self._task_list.append(Task(self, task_info))
# Init the processor class. This will in particular reinit the
# identifiers to 0.
Processor.init()
# Initialization of the caches
for cache in configuration.caches_list:
cache.init()
self._processors = []
for proc_info in proc_info_list:
proc = Processor(self, proc_info)
proc.caches = proc_info.caches
self._processors.append(proc)
# XXX: too specific.
self.penalty_preemption = configuration.penalty_preemption
self.penalty_migration = configuration.penalty_migration
self._etm.init()
self._duration = configuration.duration
self.progress = Timer(self,
Model._on_tick, (self, ),
self.duration // 20 + 1,
one_shot=False,
in_ms=False)
self._callback = callback
self.scheduler.task_list = self._task_list
self.scheduler.processors = self._processors
self.results = None
def now_ms(self):
return float(self.now()) / self._cycles_per_ms
@property
def logs(self):
"""
All the logs from the :class:`Logger <simso.core.Logger.Logger>`.
"""
return self._logger.logs
@property
def logger(self):
return self._logger
@property
def cycles_per_ms(self):
"""
Number of cycles per milliseconds. A cycle is the internal unit used
by SimSo. However, the tasks are defined using milliseconds.
"""
return self._cycles_per_ms
@property
def etm(self):
"""
Execution Time Model
"""
return self._etm
@property
def processors(self):
"""
List of all the processors.
"""
return self._processors
@property
def task_list(self):
"""
List of all the tasks.
"""
return self._task_list
@property
def duration(self):
"""
Duration of the simulation.
"""
return self._duration
def _on_tick(self):
if self._callback:
self._callback(self.now())
def run_model(self):
""" Execute the simulation."""
self.initialize()
self.scheduler.init()
self.progress.start()
for cpu in self._processors:
self.activate(cpu, cpu.run())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
if self.now() > 0:
self.results = Results(self)
self.results.end()
class Model(Simulation):
"""
Main class for the simulation. It instantiate the various components
required by the simulation and run it.
"""
def __init__(self, configuration, callback=None):
"""
Args:
- `callback`: A callback can be specified. This function will be \
called to report the advance of the simulation (useful for a \
progression bar).
- `configuration`: The :class:`configuration \
<simso.configuration.Configuration>` of the simulation.
Methods:
"""
Simulation.__init__(self)
self._logger = Logger(self)
task_info_list = configuration.task_info_list
proc_info_list = configuration.proc_info_list
self._cycles_per_ms = configuration.cycles_per_ms
self.scheduler = configuration.scheduler_info.instantiate(self)
try:
self._etm = execution_time_models[configuration.etm](
self, len(proc_info_list)
)
except KeyError:
print("Unknowned Execution Time Model.", configuration.etm)
self._task_list = []
for task_info in task_info_list:
self._task_list.append(Task(self, task_info))
# Init the processor class. This will in particular reinit the
# identifiers to 0.
Processor.init()
# Initialization of the caches
for cache in configuration.caches_list:
cache.init()
self._processors = []
for proc_info in proc_info_list:
proc = Processor(self, proc_info)
proc.caches = proc_info.caches
self._processors.append(proc)
# XXX: too specific.
self.penalty_preemption = configuration.penalty_preemption
self.penalty_migration = configuration.penalty_migration
self._etm.init()
self._duration = configuration.duration
self.progress = Timer(self, Model._on_tick, (self,),
self.duration // 20 + 1, one_shot=False,
in_ms=False)
self._callback = callback
self.scheduler.task_list = self._task_list
self.scheduler.processors = self._processors
self.results = None
def now_ms(self):
return float(self.now()) / self._cycles_per_ms
@property
def logs(self):
"""
All the logs from the :class:`Logger <simso.core.Logger.Logger>`.
"""
return self._logger.logs
@property
def logger(self):
return self._logger
@property
def cycles_per_ms(self):
"""
Number of cycles per milliseconds. A cycle is the internal unit used
by SimSo. However, the tasks are defined using milliseconds.
"""
return self._cycles_per_ms
@property
def etm(self):
"""
Execution Time Model
"""
return self._etm
@property
def processors(self):
"""
List of all the processors.
"""
return self._processors
@property
def task_list(self):
"""
List of all the tasks.
"""
return self._task_list
@property
def duration(self):
"""
Duration of the simulation.
"""
return self._duration
def _on_tick(self):
if self._callback:
self._callback(self.now())
def run_model(self):
""" Execute the simulation."""
self.initialize()
self.scheduler.init()
self.progress.start()
for cpu in self._processors:
self.activate(cpu, cpu.run())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
if self.now() > 0:
self.results = Results(self)
self.results.end()
class Model(Simulation):
"""
Main class for the simulation. It instantiate the various components
required by the simulation and run it.
"""
def __init__(self, configuration, callback=None):
"""
Args:
- `callback`: A callback can be specified. This function will be \
called to report the advance of the simulation (useful for a \
progression bar).
- `configuration`: The :class:`configuration \
<simso.configuration.Configuration>` of the simulation.
Methods:
"""
Simulation.__init__(self)
self._logger = Logger(self)
task_info_list = configuration.task_info_list
part_info_list = configuration.part_info_list
proc_info_list = configuration.proc_info_list
self._cycles_per_ms = configuration.cycles_per_ms
self._time_partitioning = False
self._donation_policy = configuration.donation_policy
self._task_list = []
self._aborted_jobs = []
self._aborted_insts = []
self._aborted_jobs_times = {}
self._aborted_insts_times = {}
self._released_opt_jobs = 0
self._completed_opt_jobs = 0
self._released_opt_by_part = {}
self._completed_opt_by_part = {}
if(configuration.part_scheduler_info):
self._time_partitioning = True
self.part_scheduler = configuration.part_scheduler_info.instantiate(self)
self.scheduler = None
else:
self.scheduler = configuration.scheduler_info.instantiate(self)
self.scheduler.task_list = self._task_list
try:
self._etm = execution_time_models[configuration.etm](
self, len(proc_info_list)
)
except KeyError:
print("Unknowned Execution Time Model.", configuration.etm)
for task_info in task_info_list:
self._task_list.append(Task(self, task_info))
self._part_list = []
for part_info in part_info_list:
self._part_list.append(TimePartition(self, part_info))
self._released_opt_by_part[part_info] = 0
self._completed_opt_by_part[part_info] = 0
# Init the processor class. This will in particular reinit the
# identifiers to 0.
Processor.init()
# Initialization of the caches
for cache in configuration.caches_list:
cache.init()
self._processors = []
for proc_info in proc_info_list:
proc = Processor(self, proc_info)
if(self._time_partitioning):
proc.activate_time_partitioning(self.part_scheduler)
for i in range(len(self._part_list)):
if proc_info in part_info_list[i].cpus:
self._part_list[i].cpus.append(proc)
proc.caches = proc_info.caches
self._processors.append(proc)
# Now that processors have been added, init list of
# interrupted jobs per partition
for part in self._part_list:
part.init_part()
# XXX: too specific.
self.penalty_preemption = configuration.penalty_preemption
self.penalty_migration = configuration.penalty_migration
self._etm.init()
self._duration = configuration.duration
self.progress = Timer(self, Model._on_tick, (self,),
self.duration // 20 + 1, one_shot=False,
in_ms=False)
self._callback = callback
# Add processors to either task scheduler or partition
# scheduler
if(self._time_partitioning):
self.part_scheduler.processors = self._processors
else:
self.scheduler.processors = self._processors
self.results = None
def now_ms(self):
return float(self.now()) / self._cycles_per_ms
@property
def logs(self):
"""
All the logs from the :class:`Logger <simso.core.Logger.Logger>`.
"""
return self._logger.logs
@property
def logger(self):
return self._logger
@property
def cycles_per_ms(self):
"""
Number of cycles per milliseconds. A cycle is the internal unit used
by SimSo. However, the tasks are defined using milliseconds.
"""
return self._cycles_per_ms
@property
def etm(self):
"""
Execution Time Model
"""
return self._etm
@property
def processors(self):
"""
List of all the processors.
"""
return self._processors
@property
def task_list(self):
"""
LisXbt of all the tasks.
"""
return self._task_list
@property
def part_list(self):
"""
List of all the tasks.
"""
return self._part_list
@property
def duration(self):
"""
Duration of the simulation.
"""
return self._duration
@property
def n_crit_part(self):
return len([p for p in self._part_list if p.can_donate])
@property
def n_noncrit_part(self):
return len(self._part_list) - self.n_crit_part
@property
def time_partitioning(self):
"""
Is time partitioning active?
"""
return self._time_partitioning
def has_misses(self):
if self._aborted_jobs or self._aborted_insts:
return True
return False
def report_job_miss(self, job, ret):
if job.task not in self._aborted_jobs:
self._aborted_jobs.append(job.task)
self._aborted_jobs_times[job.task] = ret
elif ret > self._aborted_jobs_times[job.task]:
self._aborted_jobs_times[job.task] = ret
def report_inst_miss(self, inst, ret):
if inst.part not in self._aborted_insts:
self._aborted_insts.append(inst.part)
self._aborted_insts_times[inst.part] = ret
elif ret > self._aborted_insts_times[inst.part]:
self._aborted_insts_times[inst.part] = ret
def record_opt_available(self, opt_wcet, task):
self._released_opt_jobs += opt_wcet
self._released_opt_by_part[task.part._part_info] += opt_wcet
def record_opt_completed(self, opt_wcet, task):
self._completed_opt_jobs += opt_wcet
self._completed_opt_by_part[task.part._part_info] += opt_wcet
def _on_tick(self):
if self._callback:
self._callback(self.now())
def run_model(self):
""" Execute the simulation."""
self.initialize()
if(self.scheduler):
self.scheduler.init()
if(self._time_partitioning and self.part_scheduler):
self.part_scheduler.init()
self.part_scheduler.select_donation_policy(self._donation_policy)
self.progress.start()
for cpu in self._processors:
self.activate(cpu, cpu.run())
for part in self._part_list:
self.activate(part, part.execute())
for task in self._task_list:
self.activate(task, task.execute())
try:
self.simulate(until=self._duration)
finally:
self._etm.update()
if self.now() > 0:
self.results = Results(self)
self.results.end()